Top Artificial Intelligence Jobs in France

As a Senior Software Engineer at Razer, you will develop high-performance C++ systems for real-time game data acquisition, event tracking, and video generation, while optimizing engine performance and ensuring system reliability.

The Senior AI Engineer will develop AI solutions, fine-tune models, monitor performance, and collaborate with teams to embed AI capabilities, focusing on generative AI and LLMs.

Own and build Vocca's AI layer end-to-end: design and scale production LLM/agent voice systems, develop conversational flows, ensure reliability via evaluation and observability tooling, optimize latency/cost/performance trade-offs, and collaborate cross-functionally to deliver secure, measurable voice AI for healthcare.

Lead end-to-end production of 9:16 short drama mini-series (10-15 ~1-minute episodes). Create scripts, direct, edit, and finish episodes using company AI tools. Collaborate with AI Content Creators, tech and exec teams, and iterate quickly on story, casting, and trailers while ensuring character consistency via the AI copilot.

The Director of Business Development will drive revenue through creating strategies for new business, managing client relationships, and overseeing sales processes while ensuring high service standards.

The role involves leading programming teams in biometry, developing technical solutions, ensuring regulatory compliance, and driving digital transformation in clinical data analysis.

The role involves testing and debugging AI clusters, maintaining hardware, and collaborating with development teams to resolve issues across networking components.

Build and deploy client-facing agentic cybersecurity solutions: compose red-team/blue-team workflows, configure harnesses for cloud defense, vulnerability scanning and pen-testing, design context engineering and multi-agent orchestration, turn prototypes into production services, iterate with client feedback, and collaborate with pentesters and SWE-Cyber for accuracy and platform support.

Design, develop, and maintain Python and Go microservices for data ingestion and processing; integrate backend services with BigQuery and cloud data platforms; implement REST APIs; build scalable data processing pipelines using Apache Beam and Dataflow; test and troubleshoot distributed systems; review designs, estimate work, mentor junior developers, and drive performance and reliability improvements.

Lead AI and digital workplace product strategy for an enterprise B2B SaaS platform. Conduct customer discovery, define roadmaps, write product specifications, prioritize features, and partner with Engineering, Design, Sales, and Customer Success to launch and measure AI-powered workplace experiences that improve knowledge access, productivity, collaboration, and automation while ensuring governance and security.

Lead product strategy and execution for AI-powered workplace experiences. Drive discovery, customer research, roadmap definition, and cross-functional delivery. Translate customer insights into product requirements, prioritize features balancing impact and feasibility, and measure adoption and business outcomes. Support GTM, enablement, and stakeholder alignment while monitoring AI and workplace technology trends.

Lead product strategy and execution for AI-powered workplace experiences. Drive discovery, define roadmaps and requirements, collaborate cross-functionally, support GTM and measure adoption and business impact.

Lead product strategy and execution for AI-powered workplace experiences. Drive discovery, define roadmap and requirements, collaborate cross-functionally, support GTM, measure adoption and business impact, and ensure secure, governed enterprise deployments.

Lead product strategy and execution for AI-powered workplace experiences. Own discovery, roadmaps, specs, cross-functional delivery, customer validation, GTM enablement, and success metrics for enterprise SaaS products.

Lead strategy, roadmap, and execution for Front's Copilot AI assistant in the Inbox. Define product vision, prioritize features using quantitative and qualitative insights, drive end-to-end development, and collaborate closely with engineering, design, data, marketing, and sales. Ensure product quality, trust, and business impact while aligning stakeholders and reporting to executives.

The Senior AI Product Manager will own the Data & AI roadmap, defining strategy and leading product initiatives from discovery to deployment while optimizing processes and documentation.

The Engagement Manager will oversee AI implementation projects, coordinating with clients and internal teams, and ensuring successful deployments while aligning client goals with product capabilities.

The Business Development Rep will qualify clients and manage outreach in AI Cloud sales, engaging technical audiences and developing partnerships.

The role involves reviewing and evaluating AI-generated outputs, correcting text and analyzing content with a keen focus on cultural relevance and accuracy.

Seeking a Senior Full-Stack Engineer to develop AI-driven web and mobile applications, focusing on scalable architectures and API integrations. Collaborate with product teams to translate features into technical solutions.

The AI Software Engineer will develop and improve Joko's AI shopping assistant, focusing on architecture, evaluation, data management, and personalized user experiences, while collaborating with product teams.

Design, build and maintain scalable cloud data pipelines, ETL/ELT and data warehouse solutions to provide AI-ready data. Implement data modeling, observability, governance, MLOps practices, CI/CD and containerized deployments; collaborate with cross-functional teams, ensure compliance (GxP/data privacy), and coach engineers to deliver production-grade data and ML workflows.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

The role involves providing legal guidance on global privacy and AI issues, collaborating with teams to ensure compliance, and developing scalable processes.

Provide hands-on stabilization of multiple early-stage, often AI-generated codebases: assess, fix bugs, refactor, add missing core functionality (auth, payments), improve performance, implement lightweight testing, and collaborate across teams on fractional hourly engagements.